Accuracy of polyp characterization by artificial intelligence and endoscopists: a prospective, non-randomized study in a tertiary endoscopy center

Background and study aims Artificial intelligence (AI) in gastrointestinal endoscopy is developing very fast. Computer-aided detection of polyps and computer-aided diagnosis (CADx) for polyp characterization are available now. This study was performed to evaluate the diagnostic performance of a new...

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Detalles Bibliográficos
Autores principales: Baumer, Sebastian, Streicher, Kilian, Alqahtani, Saleh A., Brookman-Amissah, Dominic, Brunner, Monika, Federle, Christoph, Muehlenberg, Klaus, Pfeifer, Lukas, Salzberger, Andrea, Schorr, Wolfgang, Zustin, Jozef, Pech, Oliver
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Georg Thieme Verlag KG 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10506867/
https://www.ncbi.nlm.nih.gov/pubmed/37727511
http://dx.doi.org/10.1055/a-2096-2960

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10506867/
https://www.ncbi.nlm.nih.gov/pubmed/37727511
http://dx.doi.org/10.1055/a-2096-2960

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